Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Codestral-22B

Mistral AI

Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Codestral-22B

Mistral AI

2024-05-29

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

2025-04-07

10 months newer

Performance Metrics

Context window and performance specifications

Codestral-22B

Larger context

Max Context:65.5K

Parameters:22.2B

Llama 3.1 Nemotron Ultra 253B v1

Max Context:-

Parameters:253.0B

Performance comparison across key benchmark categories

Codestral-22B

code

71.2%

general

34.0%

Llama 3.1 Nemotron Ultra 253B v1

code

+6.7%

77.9%

general

+40.2%

74.2%

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Ultra 253B v1

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Codestral-22B

2 providers

Google

Throughput: 42 tok/s

Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

Llama 3.1 Nemotron Ultra 253B v1

0 providers

Codestral-22B

Avg Score:0.0%

Providers:2

Llama 3.1 Nemotron Ultra 253B v1

Avg Score:0.0%

Providers:0